Senior AWS Migration Engineer

EPAM Systems

We are searching for a Senior AWS Migration Engineer with Gen AI to transition on-prem systems to AWS and embed AI capabilities into cloud solutions. You will assess environments, migrate with MGN/DMS/DataSync/Snowball, automate via CI/CD and Terraform or CloudFormation, and use Amazon Bedrock, SageMaker, and OpenAI APIs.

Responsibilities

  • Deliver end-to-end on-prem application migrations to AWS using Rehost, Replatform, and Refactor strategies
  • Assess current infrastructure, identify system dependencies, and set the migration direction
  • Design AWS architectures that are secure, scalable, and cost-optimized
  • Operate AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync, and Snowball to move workloads and data
  • Build and manage cloud environments using Terraform or CloudFormation for IaC
  • Automate delivery pipelines with GitLab CI, Jenkins, and CodePipeline
  • Implement monitoring and logging using CloudWatch, CloudTrail, and Prometheus
  • Integrate AI/ML functionality into cloud workloads including chatbots, automation, and data insights
  • Use Amazon Bedrock, SageMaker, and OpenAI APIs to implement Generative AI scenarios
  • Drive AI-based automation across DevOps activities and migration execution

Requirements

  • Track record of 5-8 years of professional experience in cloud engineering and migration work
  • Deep hands-on expertise with AWS compute services such as EC2, Lambda, and ECS/EKS
  • Proficiency in AWS storage technologies including S3, EBS, and EFS
  • Knowledge of AWS database services including RDS, Aurora, and DynamoDB
  • Experience in AWS networking using VPC, VPN, and Direct Connect
  • Understanding of AWS security services including IAM, KMS, and Secrets Manager
  • Hands-on experience with AWS migration tools such as MGN, DMS, and DataSync/Snowball
  • Ability to build Infrastructure as Code with Terraform or CloudFormation
  • Experience using CI/CD tools including GitLab CI, Jenkins, and CodePipeline
  • Familiarity with monitoring and logging tools such as CloudWatch, CloudTrail, and Prometheus
  • Basic to intermediate exposure to Generative AI services including Amazon Bedrock, SageMaker, and OpenAI APIs
  • Knowledge of prompt engineering and LLM-based application use cases

How to apply

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